{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 库包导入\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from pandas.plotting import autocorrelation_plot                    # 自相关图\n",
    "# 设置字体\n",
    "plt.style.use('default')\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 一、加载和清洗数据\n",
    "- 加载数据：使用如pandas的read_csv()函数从CSV文件加载数据。\n",
    "- 数据检查：检查数据中的任何不一致性，例如缺失值、异常值或错误的数据类型。\n",
    "- 填充缺失值：如果有缺失值，可以选择填充它们（例如，使用前值填充、后值填充或平均值填充）。\n",
    "- 数据转换：根据需要将数据转换为正确的格式，例如将日期转换为datetime对象，或者将类别变量进行独热编码。\n",
    "- 数据规范化/标准化：使用规范化（将数据缩放到0到1之间）或标准化（将数据缩放到具有0均值和单位方差）来处理特征，以便于神经网络处理。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "     年份  电力可供量(亿千瓦小时)  电力生产量(亿千瓦小时)  水电生产电力量(亿千瓦小时)  火电生产电力量(亿千瓦小时)  \\\n",
      "0  2004       21972.3       22033.1          3535.4         17955.9   \n",
      "1  2005       24940.8       25002.6          3970.2         20473.4   \n",
      "2  2006       28588.4       28657.3          4357.9         23696.0   \n",
      "3  2007       32712.4       32815.5          4852.6         27229.3   \n",
      "4  2008       34540.8       34668.8          5851.9         27900.8   \n",
      "\n",
      "   核电生产电力量(亿千瓦小时)  风电生产电力量(亿千瓦小时)  电力进口量(亿千瓦小时)  电力出口量(亿千瓦小时)  \\\n",
      "0           504.7             NaN          34.0          94.8   \n",
      "1           530.9             NaN          50.1         111.9   \n",
      "2           548.4             NaN          53.9         122.7   \n",
      "3           621.3             NaN          42.5         145.7   \n",
      "4           683.9             NaN          38.4         166.4   \n",
      "\n",
      "   电力能源消费总量(亿千瓦小时)  农、林、牧、渔业电力消费总量(亿千瓦小时)  工业电力消费总量(亿千瓦小时)  建筑业电力消费总量(亿千瓦小时)  \\\n",
      "0          21971.4                  768.9          16424.3             202.1   \n",
      "1          24940.3                  776.3          18521.7             233.9   \n",
      "2          28588.0                  827.0          21267.7             271.0   \n",
      "3          32711.8                  879.0          24290.8             309.0   \n",
      "4          34541.4                  887.1          25388.6             367.3   \n",
      "\n",
      "   交通运输、仓储和邮政业电力消费总量(亿千瓦小时)  批发和零售业、住宿和餐饮业电力消费总量(亿千瓦小时)  其他电力消费总量(亿千瓦小时)  \\\n",
      "0                     449.6                       705.4           1036.6   \n",
      "1                     430.3                       752.3           1340.9   \n",
      "2                     467.4                       847.3           1555.9   \n",
      "3                     531.9                       929.8           1708.6   \n",
      "4                     571.8                      1017.4           1913.0   \n",
      "\n",
      "   居民生活电力消费总量(亿千瓦小时)  电力终端消费量(亿千瓦小时)  工业终端电力消费量(亿千瓦小时)  输配电损失量(亿千瓦小时)  \n",
      "0             2384.5         20550.8           15003.7         1420.6  \n",
      "1             2884.8         23233.8           16815.2         1706.5  \n",
      "2             3351.6         26729.1           19408.9         1858.8  \n",
      "3             4062.7         30650.1           22229.1         2061.7  \n",
      "4             4396.1         32403.5           23250.8         2137.9  \n"
     ]
    }
   ],
   "source": [
    "# 导入数据\n",
    "data = pd.read_csv('../RawData/Electricity_20.csv', encoding='gbk')\n",
    "# 打印出数据的前5行，检查数据是否导入正确\n",
    "print(data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ffill:\n",
      "       年份  电力可供量(亿千瓦小时)  电力生产量(亿千瓦小时)  水电生产电力量(亿千瓦小时)  火电生产电力量(亿千瓦小时)  \\\n",
      "0   2004       21972.3       22033.1          3535.4         17955.9   \n",
      "1   2005       24940.8       25002.6          3970.2         20473.4   \n",
      "2   2006       28588.4       28657.3          4357.9         23696.0   \n",
      "3   2007       32712.4       32815.5          4852.6         27229.3   \n",
      "4   2008       34540.8       34668.8          5851.9         27900.8   \n",
      "5   2009       37032.7       37146.5          6156.4         29827.8   \n",
      "6   2010       41936.5       42071.6          7221.7         33319.3   \n",
      "7   2011       47002.7       47130.2          6989.5         38337.0   \n",
      "8   2012       49767.7       49875.5          8721.1         38928.1   \n",
      "9   2013       54204.1       54316.4          9202.9         42470.1   \n",
      "10  2014       57830.5       57944.6         10728.8         44001.1   \n",
      "11  2015       58021.3       58145.7         11302.7         42841.9   \n",
      "12  2016       61204.4       61331.6         11840.5         44370.7   \n",
      "13  2017       65914.0       66044.5         11978.7         47546.0   \n",
      "14  2018       71509.2       71661.3         12317.9         50963.2   \n",
      "15  2019       74866.3       75034.3         13044.4         52201.5   \n",
      "16  2020       77620.2       77790.6         13552.1         53302.5   \n",
      "17  2021       85200.1       85342.5         13390.0         58058.7   \n",
      "\n",
      "    核电生产电力量(亿千瓦小时)  风电生产电力量(亿千瓦小时)  电力进口量(亿千瓦小时)  电力出口量(亿千瓦小时)  \\\n",
      "0            504.7             NaN          34.0          94.8   \n",
      "1            530.9             NaN          50.1         111.9   \n",
      "2            548.4             NaN          53.9         122.7   \n",
      "3            621.3             NaN          42.5         145.7   \n",
      "4            683.9             NaN          38.4         166.4   \n",
      "5            701.3             NaN          60.1         173.9   \n",
      "6            738.8           446.2          55.5         190.6   \n",
      "7            863.5           703.3          65.6         193.1   \n",
      "8            973.9           959.8          68.7         176.5   \n",
      "9           1116.1          1412.0          74.4         186.7   \n",
      "10          1325.4          1599.8          67.5         181.6   \n",
      "11          1707.9          1857.7          62.1         186.5   \n",
      "12          2132.9          2370.7          61.9         189.1   \n",
      "13          2480.7          2972.3          64.2         194.7   \n",
      "14          2943.6          3659.7          56.9         209.1   \n",
      "15          3483.5          4060.3          48.6         216.5   \n",
      "16          3662.5          4664.7          47.5         217.9   \n",
      "17          4075.2          6561.0          59.4         201.8   \n",
      "\n",
      "    电力能源消费总量(亿千瓦小时)  农、林、牧、渔业电力消费总量(亿千瓦小时)  工业电力消费总量(亿千瓦小时)  建筑业电力消费总量(亿千瓦小时)  \\\n",
      "0           21971.4                  768.9          16424.3             202.1   \n",
      "1           24940.3                  776.3          18521.7             233.9   \n",
      "2           28588.0                  827.0          21267.7             271.0   \n",
      "3           32711.8                  879.0          24290.8             309.0   \n",
      "4           34541.4                  887.1          25388.6             367.3   \n",
      "5           37032.2                  939.9          26854.5             421.9   \n",
      "6           41934.5                  976.5          30871.8             483.2   \n",
      "7           47000.9                 1012.9          34691.6             571.8   \n",
      "8           49762.6                 1012.6          36232.2             608.4   \n",
      "9           54203.4                 1026.9          39236.9             675.1   \n",
      "10          57829.7                 1013.4          42248.7             721.7   \n",
      "11          58020.0                 1039.8          41550.0             698.7   \n",
      "12          61205.1                 1091.9          42996.9             725.6   \n",
      "13          65914.0                 1175.1          46052.8             789.2   \n",
      "14          71508.2                 1242.5          49094.9             887.8   \n",
      "15          74866.1                 1336.2          50698.3             991.2   \n",
      "16          77620.2                 1422.1          52353.4            1011.1   \n",
      "17          85200.1                 1596.5          56622.3            1132.9   \n",
      "\n",
      "    交通运输、仓储和邮政业电力消费总量(亿千瓦小时)  批发和零售业、住宿和餐饮业电力消费总量(亿千瓦小时)  其他电力消费总量(亿千瓦小时)  \\\n",
      "0                      449.6                       705.4           1036.6   \n",
      "1                      430.3                       752.3           1340.9   \n",
      "2                      467.4                       847.3           1555.9   \n",
      "3                      531.9                       929.8           1708.6   \n",
      "4                      571.8                      1017.4           1913.0   \n",
      "5                      617.0                      1136.8           2189.9   \n",
      "6                      734.5                      1292.0           2451.8   \n",
      "7                      848.4                      1503.1           2753.1   \n",
      "8                      915.4                      1691.5           3083.6   \n",
      "9                     1000.9                      1876.9           3397.6   \n",
      "10                    1059.2                      1995.6           3615.0   \n",
      "11                    1125.6                      2122.0           3918.6   \n",
      "12                    1251.5                      2323.8           4394.8   \n",
      "13                    1418.0                      2526.6           4880.6   \n",
      "14                    1608.5                      2900.4           5716.5   \n",
      "15                    1752.3                      3187.1           6263.8   \n",
      "16                    1751.0                      3169.0           6517.0   \n",
      "17                    1993.0                      3869.6           7706.8   \n",
      "\n",
      "    居民生活电力消费总量(亿千瓦小时)  电力终端消费量(亿千瓦小时)  工业终端电力消费量(亿千瓦小时)  输配电损失量(亿千瓦小时)  \n",
      "0              2384.5         20550.8           15003.7         1420.6  \n",
      "1              2884.8         23233.8           16815.2         1706.5  \n",
      "2              3351.6         26729.1           19408.9         1858.8  \n",
      "3              4062.7         30650.1           22229.1         2061.7  \n",
      "4              4396.1         32403.5           23250.8         2137.9  \n",
      "5              4872.2         34773.9           24596.3         2258.2  \n",
      "6              5124.6         39366.3           28303.5         2568.2  \n",
      "7              5620.1         44300.2           31990.9         2700.7  \n",
      "8              6219.0         46866.5           33336.1         2896.2  \n",
      "9              6989.2         51062.7           36096.2         3140.7  \n",
      "10             7176.1         54729.8           39148.8         3099.9  \n",
      "11             7565.2         55032.1           38562.1         2987.9  \n",
      "12             8420.6         58142.2           39934.0         3062.9  \n",
      "13             9071.6         62718.1           42857.0         3195.8  \n",
      "14            10057.6         68156.5           45743.2         3351.7  \n",
      "15            10637.2         71536.0           47368.2         3330.1  \n",
      "16            11396.5         74386.7           49120.0         3233.5  \n",
      "17            12278.9         81944.0           53366.2         3256.1  \n",
      "bfill:\n",
      "       年份  电力可供量(亿千瓦小时)  电力生产量(亿千瓦小时)  水电生产电力量(亿千瓦小时)  火电生产电力量(亿千瓦小时)  \\\n",
      "0   2004       21972.3       22033.1          3535.4         17955.9   \n",
      "1   2005       24940.8       25002.6          3970.2         20473.4   \n",
      "2   2006       28588.4       28657.3          4357.9         23696.0   \n",
      "3   2007       32712.4       32815.5          4852.6         27229.3   \n",
      "4   2008       34540.8       34668.8          5851.9         27900.8   \n",
      "5   2009       37032.7       37146.5          6156.4         29827.8   \n",
      "6   2010       41936.5       42071.6          7221.7         33319.3   \n",
      "7   2011       47002.7       47130.2          6989.5         38337.0   \n",
      "8   2012       49767.7       49875.5          8721.1         38928.1   \n",
      "9   2013       54204.1       54316.4          9202.9         42470.1   \n",
      "10  2014       57830.5       57944.6         10728.8         44001.1   \n",
      "11  2015       58021.3       58145.7         11302.7         42841.9   \n",
      "12  2016       61204.4       61331.6         11840.5         44370.7   \n",
      "13  2017       65914.0       66044.5         11978.7         47546.0   \n",
      "14  2018       71509.2       71661.3         12317.9         50963.2   \n",
      "15  2019       74866.3       75034.3         13044.4         52201.5   \n",
      "16  2020       77620.2       77790.6         13552.1         53302.5   \n",
      "17  2021       85200.1       85342.5         13390.0         58058.7   \n",
      "\n",
      "    核电生产电力量(亿千瓦小时)  风电生产电力量(亿千瓦小时)  电力进口量(亿千瓦小时)  电力出口量(亿千瓦小时)  \\\n",
      "0            504.7           446.2          34.0          94.8   \n",
      "1            530.9           446.2          50.1         111.9   \n",
      "2            548.4           446.2          53.9         122.7   \n",
      "3            621.3           446.2          42.5         145.7   \n",
      "4            683.9           446.2          38.4         166.4   \n",
      "5            701.3           446.2          60.1         173.9   \n",
      "6            738.8           446.2          55.5         190.6   \n",
      "7            863.5           703.3          65.6         193.1   \n",
      "8            973.9           959.8          68.7         176.5   \n",
      "9           1116.1          1412.0          74.4         186.7   \n",
      "10          1325.4          1599.8          67.5         181.6   \n",
      "11          1707.9          1857.7          62.1         186.5   \n",
      "12          2132.9          2370.7          61.9         189.1   \n",
      "13          2480.7          2972.3          64.2         194.7   \n",
      "14          2943.6          3659.7          56.9         209.1   \n",
      "15          3483.5          4060.3          48.6         216.5   \n",
      "16          3662.5          4664.7          47.5         217.9   \n",
      "17          4075.2          6561.0          59.4         201.8   \n",
      "\n",
      "    电力能源消费总量(亿千瓦小时)  农、林、牧、渔业电力消费总量(亿千瓦小时)  工业电力消费总量(亿千瓦小时)  建筑业电力消费总量(亿千瓦小时)  \\\n",
      "0           21971.4                  768.9          16424.3             202.1   \n",
      "1           24940.3                  776.3          18521.7             233.9   \n",
      "2           28588.0                  827.0          21267.7             271.0   \n",
      "3           32711.8                  879.0          24290.8             309.0   \n",
      "4           34541.4                  887.1          25388.6             367.3   \n",
      "5           37032.2                  939.9          26854.5             421.9   \n",
      "6           41934.5                  976.5          30871.8             483.2   \n",
      "7           47000.9                 1012.9          34691.6             571.8   \n",
      "8           49762.6                 1012.6          36232.2             608.4   \n",
      "9           54203.4                 1026.9          39236.9             675.1   \n",
      "10          57829.7                 1013.4          42248.7             721.7   \n",
      "11          58020.0                 1039.8          41550.0             698.7   \n",
      "12          61205.1                 1091.9          42996.9             725.6   \n",
      "13          65914.0                 1175.1          46052.8             789.2   \n",
      "14          71508.2                 1242.5          49094.9             887.8   \n",
      "15          74866.1                 1336.2          50698.3             991.2   \n",
      "16          77620.2                 1422.1          52353.4            1011.1   \n",
      "17          85200.1                 1596.5          56622.3            1132.9   \n",
      "\n",
      "    交通运输、仓储和邮政业电力消费总量(亿千瓦小时)  批发和零售业、住宿和餐饮业电力消费总量(亿千瓦小时)  其他电力消费总量(亿千瓦小时)  \\\n",
      "0                      449.6                       705.4           1036.6   \n",
      "1                      430.3                       752.3           1340.9   \n",
      "2                      467.4                       847.3           1555.9   \n",
      "3                      531.9                       929.8           1708.6   \n",
      "4                      571.8                      1017.4           1913.0   \n",
      "5                      617.0                      1136.8           2189.9   \n",
      "6                      734.5                      1292.0           2451.8   \n",
      "7                      848.4                      1503.1           2753.1   \n",
      "8                      915.4                      1691.5           3083.6   \n",
      "9                     1000.9                      1876.9           3397.6   \n",
      "10                    1059.2                      1995.6           3615.0   \n",
      "11                    1125.6                      2122.0           3918.6   \n",
      "12                    1251.5                      2323.8           4394.8   \n",
      "13                    1418.0                      2526.6           4880.6   \n",
      "14                    1608.5                      2900.4           5716.5   \n",
      "15                    1752.3                      3187.1           6263.8   \n",
      "16                    1751.0                      3169.0           6517.0   \n",
      "17                    1993.0                      3869.6           7706.8   \n",
      "\n",
      "    居民生活电力消费总量(亿千瓦小时)  电力终端消费量(亿千瓦小时)  工业终端电力消费量(亿千瓦小时)  输配电损失量(亿千瓦小时)  \n",
      "0              2384.5         20550.8           15003.7         1420.6  \n",
      "1              2884.8         23233.8           16815.2         1706.5  \n",
      "2              3351.6         26729.1           19408.9         1858.8  \n",
      "3              4062.7         30650.1           22229.1         2061.7  \n",
      "4              4396.1         32403.5           23250.8         2137.9  \n",
      "5              4872.2         34773.9           24596.3         2258.2  \n",
      "6              5124.6         39366.3           28303.5         2568.2  \n",
      "7              5620.1         44300.2           31990.9         2700.7  \n",
      "8              6219.0         46866.5           33336.1         2896.2  \n",
      "9              6989.2         51062.7           36096.2         3140.7  \n",
      "10             7176.1         54729.8           39148.8         3099.9  \n",
      "11             7565.2         55032.1           38562.1         2987.9  \n",
      "12             8420.6         58142.2           39934.0         3062.9  \n",
      "13             9071.6         62718.1           42857.0         3195.8  \n",
      "14            10057.6         68156.5           45743.2         3351.7  \n",
      "15            10637.2         71536.0           47368.2         3330.1  \n",
      "16            11396.5         74386.7           49120.0         3233.5  \n",
      "17            12278.9         81944.0           53366.2         3256.1  \n",
      "interpolate:\n",
      "       年份  电力可供量(亿千瓦小时)  电力生产量(亿千瓦小时)  水电生产电力量(亿千瓦小时)  火电生产电力量(亿千瓦小时)  \\\n",
      "0   2004       21972.3       22033.1          3535.4         17955.9   \n",
      "1   2005       24940.8       25002.6          3970.2         20473.4   \n",
      "2   2006       28588.4       28657.3          4357.9         23696.0   \n",
      "3   2007       32712.4       32815.5          4852.6         27229.3   \n",
      "4   2008       34540.8       34668.8          5851.9         27900.8   \n",
      "5   2009       37032.7       37146.5          6156.4         29827.8   \n",
      "6   2010       41936.5       42071.6          7221.7         33319.3   \n",
      "7   2011       47002.7       47130.2          6989.5         38337.0   \n",
      "8   2012       49767.7       49875.5          8721.1         38928.1   \n",
      "9   2013       54204.1       54316.4          9202.9         42470.1   \n",
      "10  2014       57830.5       57944.6         10728.8         44001.1   \n",
      "11  2015       58021.3       58145.7         11302.7         42841.9   \n",
      "12  2016       61204.4       61331.6         11840.5         44370.7   \n",
      "13  2017       65914.0       66044.5         11978.7         47546.0   \n",
      "14  2018       71509.2       71661.3         12317.9         50963.2   \n",
      "15  2019       74866.3       75034.3         13044.4         52201.5   \n",
      "16  2020       77620.2       77790.6         13552.1         53302.5   \n",
      "17  2021       85200.1       85342.5         13390.0         58058.7   \n",
      "\n",
      "    核电生产电力量(亿千瓦小时)  风电生产电力量(亿千瓦小时)  电力进口量(亿千瓦小时)  电力出口量(亿千瓦小时)  \\\n",
      "0            504.7             NaN          34.0          94.8   \n",
      "1            530.9             NaN          50.1         111.9   \n",
      "2            548.4             NaN          53.9         122.7   \n",
      "3            621.3             NaN          42.5         145.7   \n",
      "4            683.9             NaN          38.4         166.4   \n",
      "5            701.3             NaN          60.1         173.9   \n",
      "6            738.8           446.2          55.5         190.6   \n",
      "7            863.5           703.3          65.6         193.1   \n",
      "8            973.9           959.8          68.7         176.5   \n",
      "9           1116.1          1412.0          74.4         186.7   \n",
      "10          1325.4          1599.8          67.5         181.6   \n",
      "11          1707.9          1857.7          62.1         186.5   \n",
      "12          2132.9          2370.7          61.9         189.1   \n",
      "13          2480.7          2972.3          64.2         194.7   \n",
      "14          2943.6          3659.7          56.9         209.1   \n",
      "15          3483.5          4060.3          48.6         216.5   \n",
      "16          3662.5          4664.7          47.5         217.9   \n",
      "17          4075.2          6561.0          59.4         201.8   \n",
      "\n",
      "    电力能源消费总量(亿千瓦小时)  农、林、牧、渔业电力消费总量(亿千瓦小时)  工业电力消费总量(亿千瓦小时)  建筑业电力消费总量(亿千瓦小时)  \\\n",
      "0           21971.4                  768.9          16424.3             202.1   \n",
      "1           24940.3                  776.3          18521.7             233.9   \n",
      "2           28588.0                  827.0          21267.7             271.0   \n",
      "3           32711.8                  879.0          24290.8             309.0   \n",
      "4           34541.4                  887.1          25388.6             367.3   \n",
      "5           37032.2                  939.9          26854.5             421.9   \n",
      "6           41934.5                  976.5          30871.8             483.2   \n",
      "7           47000.9                 1012.9          34691.6             571.8   \n",
      "8           49762.6                 1012.6          36232.2             608.4   \n",
      "9           54203.4                 1026.9          39236.9             675.1   \n",
      "10          57829.7                 1013.4          42248.7             721.7   \n",
      "11          58020.0                 1039.8          41550.0             698.7   \n",
      "12          61205.1                 1091.9          42996.9             725.6   \n",
      "13          65914.0                 1175.1          46052.8             789.2   \n",
      "14          71508.2                 1242.5          49094.9             887.8   \n",
      "15          74866.1                 1336.2          50698.3             991.2   \n",
      "16          77620.2                 1422.1          52353.4            1011.1   \n",
      "17          85200.1                 1596.5          56622.3            1132.9   \n",
      "\n",
      "    交通运输、仓储和邮政业电力消费总量(亿千瓦小时)  批发和零售业、住宿和餐饮业电力消费总量(亿千瓦小时)  其他电力消费总量(亿千瓦小时)  \\\n",
      "0                      449.6                       705.4           1036.6   \n",
      "1                      430.3                       752.3           1340.9   \n",
      "2                      467.4                       847.3           1555.9   \n",
      "3                      531.9                       929.8           1708.6   \n",
      "4                      571.8                      1017.4           1913.0   \n",
      "5                      617.0                      1136.8           2189.9   \n",
      "6                      734.5                      1292.0           2451.8   \n",
      "7                      848.4                      1503.1           2753.1   \n",
      "8                      915.4                      1691.5           3083.6   \n",
      "9                     1000.9                      1876.9           3397.6   \n",
      "10                    1059.2                      1995.6           3615.0   \n",
      "11                    1125.6                      2122.0           3918.6   \n",
      "12                    1251.5                      2323.8           4394.8   \n",
      "13                    1418.0                      2526.6           4880.6   \n",
      "14                    1608.5                      2900.4           5716.5   \n",
      "15                    1752.3                      3187.1           6263.8   \n",
      "16                    1751.0                      3169.0           6517.0   \n",
      "17                    1993.0                      3869.6           7706.8   \n",
      "\n",
      "    居民生活电力消费总量(亿千瓦小时)  电力终端消费量(亿千瓦小时)  工业终端电力消费量(亿千瓦小时)  输配电损失量(亿千瓦小时)  \n",
      "0              2384.5         20550.8           15003.7         1420.6  \n",
      "1              2884.8         23233.8           16815.2         1706.5  \n",
      "2              3351.6         26729.1           19408.9         1858.8  \n",
      "3              4062.7         30650.1           22229.1         2061.7  \n",
      "4              4396.1         32403.5           23250.8         2137.9  \n",
      "5              4872.2         34773.9           24596.3         2258.2  \n",
      "6              5124.6         39366.3           28303.5         2568.2  \n",
      "7              5620.1         44300.2           31990.9         2700.7  \n",
      "8              6219.0         46866.5           33336.1         2896.2  \n",
      "9              6989.2         51062.7           36096.2         3140.7  \n",
      "10             7176.1         54729.8           39148.8         3099.9  \n",
      "11             7565.2         55032.1           38562.1         2987.9  \n",
      "12             8420.6         58142.2           39934.0         3062.9  \n",
      "13             9071.6         62718.1           42857.0         3195.8  \n",
      "14            10057.6         68156.5           45743.2         3351.7  \n",
      "15            10637.2         71536.0           47368.2         3330.1  \n",
      "16            11396.5         74386.7           49120.0         3233.5  \n",
      "17            12278.9         81944.0           53366.2         3256.1  \n"
     ]
    }
   ],
   "source": [
    "# 对原始数据中的缺失数据进行前项填充\n",
    "clear_data_ffill = data.interpolate(method='ffill', order=3)\n",
    "# 对原始数据中的缺失数据进行后项填充\n",
    "clear_data_bfill = data.interpolate(method='bfill', order=3)\n",
    "# 对原始数据中的缺失数据进行插值填充\n",
    "clear_data_interpolate = data.interpolate(method='linear', order=3)\n",
    "# 打印出行名为风电生产电力量的数据\n",
    "print(\"ffill:\\n\",clear_data_ffill)\n",
    "print(\"bfill:\\n\",clear_data_bfill)\n",
    "print(\"interpolate:\\n\",clear_data_interpolate)\n",
    "# 保存数据\n",
    "clear_data_ffill.to_csv('../ClearData/Electricity_20_ffill.csv', index=False)\n",
    "clear_data_bfill.to_csv('../ClearData/Electricity_20_bfill.csv', index=False)\n",
    "clear_data_interpolate.to_csv('../ClearData/Electricity_20_interpolate.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "clear_data_fill:\n",
      "         date  电力可供量(亿千瓦小时)  电力生产量(亿千瓦小时)  水电生产电力量(亿千瓦小时)  火电生产电力量(亿千瓦小时)  \\\n",
      "0 2004-01-01       21972.3       22033.1          3535.4         17955.9   \n",
      "1 2005-01-01       24940.8       25002.6          3970.2         20473.4   \n",
      "2 2006-01-01       28588.4       28657.3          4357.9         23696.0   \n",
      "3 2007-01-01       32712.4       32815.5          4852.6         27229.3   \n",
      "4 2008-01-01       34540.8       34668.8          5851.9         27900.8   \n",
      "\n",
      "   核电生产电力量(亿千瓦小时)  风电生产电力量(亿千瓦小时)  电力进口量(亿千瓦小时)  电力出口量(亿千瓦小时)  \\\n",
      "0           504.7             NaN          34.0          94.8   \n",
      "1           530.9             NaN          50.1         111.9   \n",
      "2           548.4             NaN          53.9         122.7   \n",
      "3           621.3             NaN          42.5         145.7   \n",
      "4           683.9             NaN          38.4         166.4   \n",
      "\n",
      "   电力能源消费总量(亿千瓦小时)  农、林、牧、渔业电力消费总量(亿千瓦小时)  工业电力消费总量(亿千瓦小时)  建筑业电力消费总量(亿千瓦小时)  \\\n",
      "0          21971.4                  768.9          16424.3             202.1   \n",
      "1          24940.3                  776.3          18521.7             233.9   \n",
      "2          28588.0                  827.0          21267.7             271.0   \n",
      "3          32711.8                  879.0          24290.8             309.0   \n",
      "4          34541.4                  887.1          25388.6             367.3   \n",
      "\n",
      "   交通运输、仓储和邮政业电力消费总量(亿千瓦小时)  批发和零售业、住宿和餐饮业电力消费总量(亿千瓦小时)  其他电力消费总量(亿千瓦小时)  \\\n",
      "0                     449.6                       705.4           1036.6   \n",
      "1                     430.3                       752.3           1340.9   \n",
      "2                     467.4                       847.3           1555.9   \n",
      "3                     531.9                       929.8           1708.6   \n",
      "4                     571.8                      1017.4           1913.0   \n",
      "\n",
      "   居民生活电力消费总量(亿千瓦小时)  电力终端消费量(亿千瓦小时)  工业终端电力消费量(亿千瓦小时)  输配电损失量(亿千瓦小时)  \n",
      "0             2384.5         20550.8           15003.7         1420.6  \n",
      "1             2884.8         23233.8           16815.2         1706.5  \n",
      "2             3351.6         26729.1           19408.9         1858.8  \n",
      "3             4062.7         30650.1           22229.1         2061.7  \n",
      "4             4396.1         32403.5           23250.8         2137.9  \n",
      "clear_data_bfill:\n",
      "         date  电力可供量(亿千瓦小时)  电力生产量(亿千瓦小时)  水电生产电力量(亿千瓦小时)  火电生产电力量(亿千瓦小时)  \\\n",
      "0 2004-01-01       21972.3       22033.1          3535.4         17955.9   \n",
      "1 2005-01-01       24940.8       25002.6          3970.2         20473.4   \n",
      "2 2006-01-01       28588.4       28657.3          4357.9         23696.0   \n",
      "3 2007-01-01       32712.4       32815.5          4852.6         27229.3   \n",
      "4 2008-01-01       34540.8       34668.8          5851.9         27900.8   \n",
      "\n",
      "   核电生产电力量(亿千瓦小时)  风电生产电力量(亿千瓦小时)  电力进口量(亿千瓦小时)  电力出口量(亿千瓦小时)  \\\n",
      "0           504.7           446.2          34.0          94.8   \n",
      "1           530.9           446.2          50.1         111.9   \n",
      "2           548.4           446.2          53.9         122.7   \n",
      "3           621.3           446.2          42.5         145.7   \n",
      "4           683.9           446.2          38.4         166.4   \n",
      "\n",
      "   电力能源消费总量(亿千瓦小时)  农、林、牧、渔业电力消费总量(亿千瓦小时)  工业电力消费总量(亿千瓦小时)  建筑业电力消费总量(亿千瓦小时)  \\\n",
      "0          21971.4                  768.9          16424.3             202.1   \n",
      "1          24940.3                  776.3          18521.7             233.9   \n",
      "2          28588.0                  827.0          21267.7             271.0   \n",
      "3          32711.8                  879.0          24290.8             309.0   \n",
      "4          34541.4                  887.1          25388.6             367.3   \n",
      "\n",
      "   交通运输、仓储和邮政业电力消费总量(亿千瓦小时)  批发和零售业、住宿和餐饮业电力消费总量(亿千瓦小时)  其他电力消费总量(亿千瓦小时)  \\\n",
      "0                     449.6                       705.4           1036.6   \n",
      "1                     430.3                       752.3           1340.9   \n",
      "2                     467.4                       847.3           1555.9   \n",
      "3                     531.9                       929.8           1708.6   \n",
      "4                     571.8                      1017.4           1913.0   \n",
      "\n",
      "   居民生活电力消费总量(亿千瓦小时)  电力终端消费量(亿千瓦小时)  工业终端电力消费量(亿千瓦小时)  输配电损失量(亿千瓦小时)  \n",
      "0             2384.5         20550.8           15003.7         1420.6  \n",
      "1             2884.8         23233.8           16815.2         1706.5  \n",
      "2             3351.6         26729.1           19408.9         1858.8  \n",
      "3             4062.7         30650.1           22229.1         2061.7  \n",
      "4             4396.1         32403.5           23250.8         2137.9  \n",
      "clear_data_interpolate:\n",
      "         date  电力可供量(亿千瓦小时)  电力生产量(亿千瓦小时)  水电生产电力量(亿千瓦小时)  火电生产电力量(亿千瓦小时)  \\\n",
      "0 2004-01-01       21972.3       22033.1          3535.4         17955.9   \n",
      "1 2005-01-01       24940.8       25002.6          3970.2         20473.4   \n",
      "2 2006-01-01       28588.4       28657.3          4357.9         23696.0   \n",
      "3 2007-01-01       32712.4       32815.5          4852.6         27229.3   \n",
      "4 2008-01-01       34540.8       34668.8          5851.9         27900.8   \n",
      "\n",
      "   核电生产电力量(亿千瓦小时)  风电生产电力量(亿千瓦小时)  电力进口量(亿千瓦小时)  电力出口量(亿千瓦小时)  \\\n",
      "0           504.7             NaN          34.0          94.8   \n",
      "1           530.9             NaN          50.1         111.9   \n",
      "2           548.4             NaN          53.9         122.7   \n",
      "3           621.3             NaN          42.5         145.7   \n",
      "4           683.9             NaN          38.4         166.4   \n",
      "\n",
      "   电力能源消费总量(亿千瓦小时)  农、林、牧、渔业电力消费总量(亿千瓦小时)  工业电力消费总量(亿千瓦小时)  建筑业电力消费总量(亿千瓦小时)  \\\n",
      "0          21971.4                  768.9          16424.3             202.1   \n",
      "1          24940.3                  776.3          18521.7             233.9   \n",
      "2          28588.0                  827.0          21267.7             271.0   \n",
      "3          32711.8                  879.0          24290.8             309.0   \n",
      "4          34541.4                  887.1          25388.6             367.3   \n",
      "\n",
      "   交通运输、仓储和邮政业电力消费总量(亿千瓦小时)  批发和零售业、住宿和餐饮业电力消费总量(亿千瓦小时)  其他电力消费总量(亿千瓦小时)  \\\n",
      "0                     449.6                       705.4           1036.6   \n",
      "1                     430.3                       752.3           1340.9   \n",
      "2                     467.4                       847.3           1555.9   \n",
      "3                     531.9                       929.8           1708.6   \n",
      "4                     571.8                      1017.4           1913.0   \n",
      "\n",
      "   居民生活电力消费总量(亿千瓦小时)  电力终端消费量(亿千瓦小时)  工业终端电力消费量(亿千瓦小时)  输配电损失量(亿千瓦小时)  \n",
      "0             2384.5         20550.8           15003.7         1420.6  \n",
      "1             2884.8         23233.8           16815.2         1706.5  \n",
      "2             3351.6         26729.1           19408.9         1858.8  \n",
      "3             4062.7         30650.1           22229.1         2061.7  \n",
      "4             4396.1         32403.5           23250.8         2137.9  \n"
     ]
    }
   ],
   "source": [
    "# 对时间这个列重命名,方便后续操作\n",
    "clear_data_ffill = clear_data_ffill.rename(columns={'年份':'date'})\n",
    "clear_data_ffill['date'] = pd.to_datetime(clear_data_ffill['date'], format='%Y')\n",
    "# 对bfill进行同样的操作\n",
    "clear_data_bfill = clear_data_bfill.rename(columns={'年份':'date'})\n",
    "clear_data_bfill['date'] = pd.to_datetime(clear_data_bfill['date'], format='%Y')\n",
    "# 对interpolate进行同样的操作\n",
    "clear_data_interpolate = clear_data_interpolate.rename(columns={'年份':'date'})\n",
    "clear_data_interpolate['date'] = pd.to_datetime(clear_data_interpolate['date'], format='%Y')\n",
    "# 打印出数据的前5行\n",
    "print(\"clear_data_fill:\\n\",clear_data_ffill.head())\n",
    "print(\"clear_data_bfill:\\n\",clear_data_bfill.head())\n",
    "print(\"clear_data_interpolate:\\n\",clear_data_interpolate.head())\n",
    "# 保存数据,三种填充方式的数据\n",
    "clear_data_ffill.to_csv('../ClearData/Electricity_20_ffill_date.csv', index=False)\n",
    "clear_data_bfill.to_csv('../ClearData/Electricity_20_bfill_date.csv', index=False)\n",
    "clear_data_interpolate.to_csv('../ClearData/Electricity_20_interpolate_date.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/kJKSoi1btqhPnz6Kjo6ukL1zIbQFAAAAAKByHT3qDmjXrZN+/rn4NW3aFO2kbdas6usEgMpS4aFtZmamunXrpt27d1dYkd6E0BYAAAAAgIp1+LAZzhYEtTt3Fr+mY8eiB4c1blz1dQJAVfE0g/R4pm1ISEi1DWwBAAAAAMD5O3jQ3UW7bp20d2/xa7p0KTruoH79qq8TALxdmQ4i+7PvvvtOl156aUXVAgAAAAAAfIRhSPv3Fx13kJRU9Bo/P+mii9ydtP36SVFRVlQLAL6l3KGty+XSgAEDlJ2dXZH1AAAAAAAAL2QY0i+/FO2kTUkpeo3dLnXv7u6k7dtXCg+3pl4A8GUehbZZWVnavHmz+vfvX7jm5+enkJCQSisMAAAAAABYx+UyZ9AWBLTr10u//170moAA6ZJL3J20ffpIoaHW1AsA1YlHoe29996rI0eOFAltJcnf/7ymKwAAAAAAAC/hcknbt7tD2g0bpOPHi14TFCT17u3upO3dW6KfCwAqnkep6+jRo3XXXXdVdi0AAAAAAKCK5OVJW7e6Z9Ju2CCdOlX0mlq1zO7ZgpD2kkuk4GBLygWAGsWj0LZv3746ePBgZdcCAAAAAAAqSW6utGWLu5P2m2+k9PSi19SpY86hLQhpu3eXAgOtqRcAajKPQlt/f3+1a9dOY8aMUVBQUOF6RkaGJk6cWOTa/Px85eTkaPHixRVbKQAAAAAA8JjTKf3wgzuk/fZbKTOz6DXh4VK/fu6Qtls3iUmIAGA9j/+nuF27dsrPz1f37t0L15YuXVrke0nKzc2V0+msuAoBAAAAAMA5ZWZKmza5Q9pNm8zg9kxRUe5Dw/r3l7p2lex2a+oFAJTO49C2WbNmCgsL0x133FG49o9//KPI9wAAAAAAoGpkZJjdswUh7Q8/mCMQzlS/vruL9vLLpU6dJD8/a+oFAHjO49C2SZMmSkxMrMxaAAAAAABAKdLSpI0b3SHtjz9K+flFr2nSxB3Q9u8vtW8v2WzW1AsAKD+PQ9uoqCgOIwMAAAAAoIqcPClt2OAOabdtk1yuotc0b160k7ZVK0JaAKgOPA5tIyMjFR4eXmQtJyenwgsCAAAAAKAmOnpUWr/eHdL+/HPxa9q0cXfRXn65GdoCAKofj0Pb/v3768orryz8Pj8/nwPHAAAAAAAop99+cwe069ZJO3cWv6ZDh6LjDpo0qfo6AQBVz+PQ1t+/6KV2u11ZWVkVXhAAAAAAANWRYUjffSctXCh99ZW0d2/xa7p0cXfR9u8vNWhQ5WUCALyAx6GtJxISEtS6dWvVqlWrIh8LAAAAAIDPysqS3ntPevFFaetW97rNJl10kbuTtl8/KSrKsjIBAF6kwkLb1NRU9enTR3l5eXr++ec1derUino0AAAAAAA+58AB6eWXpTfeMA8Vk6TgYGncOGnUKKlvX6luXUtLBAB4Kb+yXDx69Gjt2bOnxL2IiAgdOXJE//nPf/Tcc89VRG0AAAAAAPgUl0tatUqKjZVat5b+9S8zsG3RQvrnP6XkZGnBAmnYMAJbAEDpbIZhGJ5e7Ofnp+joaH3wwQe64oorSrwmNzdXjRo10vHjxyuqxirhcDgUHh6utLQ0hYWFWV0OAAAAAMCHpKWZs2pfekk6s9fp6qulv/9dGjJEststKw8A4CU8zSDL1GkrSXfffbdGjRql++67T06ns9h+QECA8vPzy/pYAAAAAAB8TkKCdOutUpMm0p13moFtWJh0++3Srl3urlsCWwBAWZQ5tL355psVHx+vhIQEderUSStXrix2jcvlqpDiAAAAAADwNrm50pIl0oABUpcu0iuvSKdPS507mzNsU1Kk55+X2re3ulIAgK8q00FkNptNkhQTE6MVK1bo/fff17Rp09S+fXs9/PDDuvzyy/X7778riuMuAQAAAADVzJEj0uuvmyFtSoq5ZrdLI0aYIxAuv1z644/NAACcF49DW5fLJcMwlJeXV7g2duxYXXfddXruuec0ZswYhYWFyc/PT8OGDauUYgEAAAAAqEqGIX3/vfTii9KHH5pdtpIUHS3dcos0bZoUE2NtjQCA6sejg8gMw1BiYqKWLFmimTNnljgkNycnR+vWrVNmZqaGDBmigICASim4snAQGQAAAACgQFaW9MEHZlj744/u9V69zK7av/xFCgqyrj4AgG/yNIP0qNP2s88+0/DhwzVy5EitW7dOtWvXLvE6u92u2rVr64svvtC1115bvsoBAAAAALBIUpI5/mD+fOnECXMtKEgaN06aMUPq0cPS8gAANYRHoe2QIUO0c+dOzZ8/X3/961+VmpqqyMhINWrUSH9u1HW5XMrNzSW0BQAAAAD4BMOQvvzS7KpdtkwqOFu7WTPp//0/6W9/k+rVs7ZGAEDN4tF4hDOdPn1a//rXv/Tiiy/q1ltv1YMPPqjg4ODKqq/KMB4BAAAAAGoWh0N6803ppZek3bvd6wMHmiMQhg0zDxoDAKCieJpB+pX1wbVr19Zjjz2mzZs3a+3atXr77bfPq1AAAAAAAKpSYqI56qBJE+n2283Atk4dM6hNTJTWrJGGDyewBQBYx6PxCCVp2bKlvvnmm4qsBQAAAACASpGXZ44+ePFFae1a93rHjmaAO2GCxF+6BAB4C486bV966SW99957Hj3w4MGDmjx5crFZtwAAAAAAVLVjx6Q5c6RWraRRo8zA1s9PGjnSnGO7Y4cZ2hLYAgC8iUeh7Y033qgFCxbolltu0bFjx0q9btGiRRo8eLAmTZokm81WYUUCAAAAAFAWP/wgTZwoNW0qPfCAdOiQeZjY/fdLBw5IH38sXXmlxB9dAQDeyKPxCBEREVq9erXeeOMN9e3bVx06dFCvXr1Uv359paena9++fVqzZo369eunr7/+Wg0aNKjsugEAAAAAKCI7W/rwQ3MEwubN7vWePc15tTfcIFWDc7QBADWAzSjHHIMtW7YoPj5ex44dU506ddS8eXMNGDBAderUqYwaq4SnJ7cBAAAAALzLwYPSK69Ir78uHT9urgUGSmPHmqMPLrnE2voAACjgaQZZroPIevTooR49epS7OAAAAAAAzodhSF99ZXbVfvKJ5HKZ6zEx0q23Sn/7m1S/vrU1AgBQXuUKbQEAAAAAsEJ6uvTWW2ZYu3One/3KK80RCLGxkj9/0gUA+Dj+UQYAAAAA8Hq7dkkvvSS9+aYZ3EpS7drSpEnmCIROnaytDwCAiuRX3htfeOGFUvdWrVpV3scCAAAAACBJys83Rx8MGiR17Gh216anS+3bSy+8IKWkmEEugS0AoLopd2j7xhtvFFtLSUmRYRh6+OGHz6soAAAAAEDNdfy49PTTUuvW0ogR0hdfSH5+0vDh0po15liE226TwsOtrhQAgMrh8XiEgQMHqlatWsrLy9MNN9ygunXr6t1339XcuXNlt9vVs2dPxcfH68svv1Tt2rUrs2YAAAAAQDW0ZYvZOfvee5LTaa5FRkpTp0rTp0stWlhaHgAAVcbjTtvjx4/r4MGDGjp0qPbv36+goCCdOnVKEyZMkGEYqlOnjgIDAwlsAQAAAAAeczqlt9+WeveWevaUFi401y6+WPrf/6TkZGnuXAJbAEDN4nGnbUREhPLz83XJJZdo2bJlhevt2rVTaGioateuLZvNJpvNVimFAgAAAACqj+Rk6ZVXpNdek44dM9cCAqQbbpD+/nepVy+JP14CAGoqj0Pb0hQEtWeGtQS3AAAAAIA/Mwxp3TrzQLG4OPOgMUlq0sQcfzB1qtSggaUlAgDgFc4rtDUMQ5MnT1ZmZqa2bdumnJwcNWrUSDk5ORVVHwAAAADAx2VkmCMQXnxR2rHDvX7FFWZX7XXXmV22AADA5PFM25LYbDa9+OKLuvjiizV9+nR1795du3btUufOnSuqPgAAAACAj/rlF+nOO81O2ltvNQPbkBCzq/bnn6WvvpJGjyawBQDgz857PELt2rVlt9sVFBQku92u8PBw2e32iqgNAAAAAOBj8vOllSvNrtrVq93rbdtKM2ZIkyZJdetaVh4AAD7B49DW6XTK5XLpWMGE+D9kZmbK5XLJ5XJVeHEAAAAAAN9w4oS0YIE0b56UlGSu2WzSsGHmCISBAyW/8/q7ngAA1Bweh7ZJSUmqVauW/v73v2v69OnKzs6WYRiaMGGCbDabwsLClJeXp9TUVA4iAwAAAIAaYutWs6v23Xel7GxzLSJCuvlmcyRCy5bW1gcAgC/yOLQ9fPhwke/fe+89zZgxQzNmzJAkuVwuxcXFyd/fX6dPn67YKgEAAAAAXiMnR/roIzOs/fZb9/pFF0m33SaNHWvOrgUAAOVT7pm2MTExRb738/PTqFGjJEk333zz+VUFAAAAAPA6KSnSq69Kr70mHTlirvn7S3/5izkC4dJLzZEIAADg/NgMwzCsLsIbOBwOhYeHKy0tTWFhYVaXAwAAAABewTCkDRvMrtqPPzYPGpOkRo2k6dOlqVPN9wAA4Nw8zSDLNAb+559/Lnzvcrn0yCOPcAAZAAAAAFRDp0+bHbUXXihdfrm0eLEZ2PbvL33wgfTrr9IjjxDYAgBQGTzutHW5XAoJCVF2wWR5Sf7+/srLy6u04qoSnbYAAAAAIO3dK82bJy1YIKWlmWshIdL48dKMGVLXrtbWBwCAL/M0g/R4pq2fn59q166t7du3KyIiQjExMbIxrAgAAAAAfJ7LJX32mfTSS+bXAq1bm0Ht5MlSRIRl5QEAUOOU6SAyPz8/Pfnkk1qxYoWmTZtWWTUBAAAAAKrAyZPS//5ndtbu32+u2WzStdeaB4sNHiz5lWmoHgAAqAhl+sevzWbThx9+qDVr1ig1NfW859meOHFC3377rY4fP35ezwEAAAAAeC4+3jxArGlT6Z57zMC2bl3p7rulPXukFSvM4JbAFgAAa3j0j+Bt27bp//7v/wpD2j59+uh///uf7HZ7uX/w+++/rzZt2mjGjBlq1qyZ3n//fUlSQkKCevbsqYiICM2aNUtnjtwt7x4AAAAA1HQ5OeYBYv36SRddJM2fL2VlmQeNvf66lJIi/fvf5kgEAABgLY9C27feekufnTnY6DydOnVKt912mzZs2KCtW7fq1Vdf1X333Sen06nY2Fh1795dW7ZsUWJiohYuXChJ5d4DAAAAgJrst9+kxx+XWrSQxo6VNm6U/P2lMWOkDRukrVulm282DxsDAADewWaUoSW1fv362rdvnx599FHZ7XY9//zzysnJKfMPPXTokNavX6+bbrpJkrR9+3b17dtXixYt0pQpU5ScnKyQkBDFx8drxowZ2rhxo+Li4sq15ylPT24DAAAAAG9nGNI330gvvih99JGUl2euN2woTZsm3XKL1LixtTUCAFATeZpBlmlCkWEYmjVrlr744gv17du33MXFxMQUBra5ubn697//rVGjRik+Pl69e/dWyB//ibdr165KTEyUpHLvlcbpdMrhcBR5AQAAAIAvy8w0xx5062aOQfjgAzOw7dtXeu896ddfpcceI7AFAMDb+ZflYsMw9M9//lMhISHy9y/TrSWKj4/XgAEDFBgYqF27dumJJ55Qy5YtC/dtNpvsdrtSU1PlcDjKtRcREVHiz54zZ44ef/zx8/4MAAAAAGC1ffukl1+W3nhDOnXKXKtVS7rpJmnGDHOGLQAA8B0ed9oahqGMjAyFhYUVBraGYah169bq3r27xo0bp5deekmpqake//CuXbvqyy+/VOfOnfXXv/5V/v7+CgoKKnJNcHCwMjMzy71Xmvvvv19paWmFr0OHDnlcNwAAAABYLTPT7J695hqpbVvpmWfMwLZlS/NAseRk84AxAlsAAHyPx+2yNptNv/zyS5G1DRs2yGazKTU1VUlJSVq+fLlmz56tRx99VPfcc49Hz+zWrZsWLlyo5s2ba86cOUpISChyTXp6ugIDAxUZGVmuvdIEBQUVC3oBAAAAwJu5XObhYYsWSYsXS+np7r1rrpH+/nfzq91uXY0AAOD8lWmmbbNmzYp837t3b/Xq1UvXXHONpk+fruXLl2vFihX66quvzjojdu3atZo1a1bh9wWdux06dNCmTZsK15OSkuR0OhUZGamePXuWaw8AAAAAfN2ePdIjj0itW0tXXCEtWGAGti1amOt790qffSYNHUpgCwBAdVCm0NYT/fv314oVK856+lmHDh306quv6rXXXtOhQ4c0e/ZsXX311Ro6dKjS0tK0aNEiSdLcuXM1cOBA2e129e/fv1x7AAAAAOCLTp6UXnlF6tNHatdOeuIJKSlJCguTbr5ZWr/enGX7+ONmmAsAAKoPm2EYRkU+MDc3V3PnztXDDz981utWrVqlmTNnKjk5WYMHD9a8efMUHR2tuLg43XjjjQoNDVV+fr7WrVunzp07S1K59zzhcDgUHh6utLS0swbOAAAAAFBZcnOlzz+X3nxTWrZMyskx1/38pMGDpUmTpOuuMw8ZAwAAvsfTDLLMoW1WVpbuuecevfTSSyXu5+XlqV69ejpVcGRpOaSkpGjLli3q06ePoqOjK2TvXAhtAQAAAFjBMKSffjLn1L77rnT8uHvvwguliROlG2+UGja0rkYAAFAxKi20zcjIUL169ZSdnS2n06kBAwbom2++kc1mK7wmOjpax44dK3/1FiC0BQAAAFCVUlKkt982w9rERPd6gwbS+PHShAlmaAsAAKoPTzNI/7I+OCAgQAEBAZKkwMBAbd68uUhgK6nY9wAAAAAA6fRpaelSM6j94guzy1aSgoOlESPMrtpBgyT/Mv9JDQAAVCfl+leBglDWZrMVBrgAAAAAgOJcLmndOnNO7ZIlZnBboH9/M6i9/nopPNy6GgEAgHfxOLRdtWqVatWqpZycHOXn52vDhg1yuVxyuVzasGGDKvg8MwAAAADwabt3mx21b70lHTrkXm/d2gxqx4+XWrWyrj4AAOC9PJ5pGx0dreDgYEnS4cOH1bhxY0nm4V9NmjQpcq3T6dTRo0cruNTKxUxbAAAAAOfrxAnp/ffNsPaHH9zr4eHSmDHSpEnSpZdKTJQDAKBmqvCZtgUHi2VnZys6OlqH/vhPxSEhIYXvC9SvX788NQMAAACAz8nJkVauNIPa5cul3Fxz3W6Xrr3W7KqNjTXn1gIAAHiizDNtbTYbB40BAAAAqNEMQ9q82Qxq33/f7LAt0K2b2VE7bpxEPwsAACgPj0Pb9PR0PfbYY5o5c2bhWm5urnJyciqlMAAAAADwNocOSW+/bYa1u3a51xs1MmfUTpggdeliXX0AAKB68Di03bt3r9auXat58+ZJknbu3Kk2bdroH//4R7FrOZQMAAAAQHWRkSF99JEZ1H71ldllK0m1akmjRpnjD666yhyHAAAAUBE8Dm27deumrVu3avfu3fr3v/+t7t2769VXX9V9991X5Lrs7GxlZ2dXeKEAAAAAUFXy882AdtEiM7DNzHTvXXGFGdSOHi1xhjEAAKgMZZ5p2759e73++uu6+eabdfr06WL7gYGBWr9+fYUUBwAAAABVKTHRDGrffltKSXGvt21rzqkdP15q3ty6+gAAQM1Q5tC2QK9evUpc9/PzU7du3cpdEAAAAABUpWPHzMPEFi2Stmxxr0dESGPHmmHtJZdInMcMAACqSplD2/z8fM2dO1dRUVGKjIxURESE6tatq4iICDVo0EChoaGVUScAAAAAVBinU1q+3AxqV66U8vLMdX9/aehQc/zB0KFSUJC1dQIAgJqpzKFtXl6eHnvsMV100UVKT09Xenq6Tp06paysLNlsNjVp0kRPP/20xo0bVxn1AgAAAEC5GIb0/fdmUPv++1JqqnuvRw+zo3bMGCk62roaAQAApHKOR6hTp442b95cZC07O1uHDx/WU089pTvuuIPQFgAAAIBXSEoyZ9QuWiTt2eNeb9JEmjDBfHXqZFl5AAAAxZQrtLWVMMwpODhYrVq10owZM7RgwQL9+uuvas6EfgAAAAAWcDikjz4yg9qvv3av164tjR5tjj+44grJbreqQgAAgNKV+yCy0oSHh2v69OmqXbt2RT8aAAAAAEqVny998YUZ1C5dKmVlmes2m3TllWZQO2qUVKeOtXUCAACci0ehrWEYOnHihMLDw2UYxlmvbdWqlebNm1chxQEAAADAuSQkmEHt229Lv/3mXu/QwQxqx4+XYmKsqw8AAKCsPApt9+zZow4dOhQZixAVFaUWLVqoW7du+stf/qLBgwdXWpEAAAAAcKajR6V33zXD2q1b3etRUdK4cWZY26OH2WULAADgazwKbWNiYpSQkKCgoCA5nU717t1bH3/8sQ4cOKDNmzdrypQpCg8P17///W8NGTKksmsGAAAAUANlZ0vLlplB7WefmeMQJCkgQBo2TJo0Sbr2Wikw0No6AQAAzpfNONe8gz9xOp1q1KiRTp48WbiWl5enZ599Vg899JCeeuop3XPPPRVeaGVzOBwKDw9XWlqawsLCrC4HAAAAgCTDkL791gxqP/hASktz7/XqZXbUjhljdtgCAAB4O08zyDIfRGYYhlwuV9GH+Pvr3nvvVYsWLTRhwgQ1bNhQ48ePL3vVAAAAACBp/35zRu2iRdK+fe71Zs2kCRPMV/v21tUHAABQmcoc2ubm5io3N7fEvRtuuEHHjh3T9OnT1bt3b7Vp0+a8CwQAAABQM6SlSYsXm0Hthg3u9Tp1pOuvN7tqL79c8vOzrkYAAICqUObQ1maz6frrry91f8aMGfrkk09KDXYBAAAAoEBenrRmjfTmm9Inn5hzayXzALFBg8ygdsQIqXZtS8sEAACoUmWeaXsue/bsUatWrWS32yvysZWOmbYAAABA1YmPNztq33lHOnLEvd6pk3mg2E03SU2aWFcfAABAZai0mbZnc+LECXXq1EkTJkzQggULKvLRAAAAAHzc779L775rhrXx8e716GjpxhvNrtpu3cwuWwAAgJqszKHtxo0b5e/vL78zBkkVHEzWu3dvbdu2Tf369SO0BQAAAKCsLHPswaJF0qpVUsGZxoGB0nXXmV21gwdLAQHW1gkAAOBNyhzaXnHFFWrWrJkMw1BKSoqa/PF3lk6fPq2jR4+qc+fOPjcaAQAAAEDFcbmkb74xg9oPP5QcDvdenz5mR+0NN0gREdbVCAAA4M3KHNpGRERo//79kqSWLVvqwIEDkqTo6OjCa2z8fSYAAACgxtm7V3rrLfP1xx8TJEktWphB7fjxUtu2lpUHAADgM8oc2p4ZyJb2HgAAAEDNkJoqLV4svfmm9O237vXQULObduJEqW9f6YzpagAAADiHCj2ITJJSU1OVm5tb0Y8FAAAA4CVyc835tIsWSZ9+Kjmd5rqfn3T11WZQO3y4FBJibZ0AAAC+yuPQtlGjRgoODlZqaqpatWolSUpOTi58X7B+6tQpde3atXKqBQAAAGAJw5C2bTM7at99Vzp2zL3XpYt5oNiNN0qNGllWIgAAQLXhcWi7ePFiBQYGavDgwVq8eLEMw9Dw4cML3w8aNEiLFy+Wv7+/OnToUJk1AwAAAKgihw9L77xjdtUmJLjX69eXbrrJDGsvvNC6+gAAAKojj0Pbvn37mjf4+6t79+6SpMDAwML3AQEBhe8BAAAA+K7MTCkuzgxq16yRXC5zPShIGjHCHH9w9dWSf4UPWwMAAIBUgQeRAQAAAPBd6enS55+bYe2yZeb3Bfr2NTtqr79eqlvXqgoBAABqjjKHtunp6ZoyZYok6dixY4Xv09PTdeedd+q5556r0AIBAAAAVI6jR82DxOLipC++cB8oJkmtWpkdtePHS61bW1YiAABAjVTm0HbChAkKCgqS3W7X3/72N9lsNhmGoalTp8qfvx8FAAAAeLUDB6SlS82g9ptv3KMPJKltW2nkSHMEQu/eEn+xDgAAwBplTllfe+21yqgDAAAAQCUwDCk+3gxply6Vtm8vut+jhxnSjhwpdexIUAsAAOANaI0FAAAAqpn8fLOLtqCjNinJvWe3S5dfboa0w4dLMTFWVQkAAIDSENoCAAAA1UB2trR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      "text/plain": [
       "<Figure size 1400x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画出预测目标随时间变化的图\n",
    "clear_data_ffill.set_index('date',inplace = True) # 设置时间为索引\n",
    "clear_data_bfill.set_index('date',inplace = True) # 设置时间为索引\n",
    "clear_data_interpolate.set_index('date',inplace = True) # 设置时间为索引\n",
    "target = clear_data_ffill['风电生产电力量(亿千瓦小时)']\n",
    "\n",
    "# 创建画布和子图\n",
    "fig, axs = plt.subplots(nrows=3, ncols=1, figsize=(14, 15), sharex=True)\n",
    "\n",
    "# 在第一个子图中绘制前向填充的结果\n",
    "axs[0].plot(clear_data_ffill.index, target, color='blue')\n",
    "axs[0].set_title('前向填充')\n",
    "axs[0].set_ylabel('电力生产量(亿千瓦小时)')\n",
    "\n",
    "# 在第二个子图中绘制后向填充的结果\n",
    "axs[1].plot(clear_data_bfill.index, target, color='red')\n",
    "axs[1].set_title('后向填充')\n",
    "axs[1].set_ylabel('电力生产量(亿千瓦小时)')\n",
    "\n",
    "# 在第三个子图中绘制插值填充的结果\n",
    "axs[2].plot(clear_data_interpolate.index, target, color='green')\n",
    "axs[2].set_title('插值填充')\n",
    "axs[2].set_ylabel('电力生产量(亿千瓦小时)')\n",
    "\n",
    "# 自动调整子图以防重叠\n",
    "plt.tight_layout()\n",
    "\n",
    "# 显示图表\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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/v/r376+FCxdm+93v3r1br732mqpUqeIOxl0vHLgCRpfg4GCP+5fSh0X3NcT/iBEj1K9fP4WEhLh76O7YsUOdOnXSunXrvF7iGDFihMeLLZ06dVK5cuX04osvutv1+++/rz59+nidK2NA/vDDD+vFF190r585c0b/+c9/tG7dOu3cuVPXXHONzpw5o6ioKK8e45mxWq2qVq2aDh8+nOk+zz77rM8h2JOSkhQaGqr7778/23nI77jjDpUqVco95cHFox6cPXtWW7du9Tm3+Kuvvprp9dntdt13331q1aqVHn/88SyvIRAOHTokp9Ppc/hySZo4caKef/75TI/fvHmzWrVqpbVr16pr165e5XfddZdsNps2bNjgVXbxyzJS+oseTqfTq8e5qzf8xo0bPYZfDwsLU9euXfXhhx+6XxgCAAAAcHkjGAcAAABwWXMFwGFhYSpTpoyuu+46d9nAgQM1cOBADRs2TOXLl9fBgwd18803a9CgQXr22WdlNpt100036Y8//lDNmjVlNpu1Z88eNWrUSNu3b/cZyl5s2rRpeuutt2Q2m93BYNu2bWUYhpKTk7McMtnl3XfflSQ98sgjOnLkiKT0Xt/nz5+X0+nU3r17tWTJEvf+Dz74oMccxUuXLtXu3bs1e/ZsLV68WMnJyUpMTPQ4R0pKintbRESESpQo4VHer18/jRs3Tm+//bZfwfhXX32lDh06ePRGzQvDMNS/f3/ZbDb17ds31/Nfu0yYMEFDhgxR3bp1tXnzZnfv0BUrVmjw4MGKi4tzh2cZ53bfs2ePbr75ZoWEhMhkMikuLk7fffedFi5cqJSUFI0ZMybbc99yyy2aMGGCPvzwQ3Xv3l1PPfWUnn76acXGxmrhwoV69NFHde+992ratGmS0ody37t3r/v4pUuXqlq1aurZs6cSExNltVr18ccfa8qUKfrwww+VkpKi7t27a+PGjapdu7YqVqyozz77TDfffLM78C9RooR69eqllStX6tVXX3W/bJCZr776Smaz2WOuc9d3kpqa6vH75HQ6ZbPZPLbZ7XafQ1z76n2/efNmSVKTJk28RhtwOBwePZYff/xxDRo0SHXq1NH777+vzp07u+8ls17VrVq18upJfeTIEX3++ecKDQ119xAvV66cJLnnGL94aPH+/ft7tDN/5rbObL+6devq3LlzKl68uCIjI30GtxmlpKTo/PnzKleunPbv3+9RtmfPHjVs2NBrjvbdu3frqaeeUs+ePfXRRx951fnCCy8oJiZGu3fv9vmzcr3Mk9XIAr6OSU1Nldls9pqawTXixt69e72G7G/fvn2WozJI6fO2h4eHe4yakNFDDz2kDh06aMOGDWrfvr1Hmclkcv/9n3GbyWTSkSNHVK5cOZ8jSFz8vbRo0UJbt27N8joBAAAAXD4IxgEAAAAUGXa7Xe+99567N+lLL72knj17KjQ0VAsWLNCZM2e0dOlSdevWzeO4jAH4nDlzdMstt6hChQpe4bKUPud2xtDolVde0SuvvCIpvefhSy+9pN27d6tUqVIqVqyYzzoy8+uvv3p8fuCBB1SsWDE1b95cp0+fzvS4u+++W+XKlXOH3b6C7Yt7bbZs2dIjtA8PD1ePHj3cQWpWjhw5oh07duiJJ57w57b8ZrPZNGvWLHdw6tqWmpqq0NBQr8DRZrPJZrN5hW7Lli3T119/rTZt2kiSxxDfmzZt0jXXXOMRTGYsb9q0qZKTkyVJu3btUqNGjfTEE09o/Pjx7p67rrnoM1OqVCm1b99e48eP1+HDh9WtWzd17NhRkydP1jvvvKO1a9dqyJAh+uSTT/TAAw+oZ8+e7p7ekjR+/Hj17NlTb7zxhh566CElJSXp4MGDstvtatq0qXr27KnIyEjdeuutGjt2rGbNmqV58+Z5jIwgSQMGDNDSpUv18ccf66677srymtetW6eOHTt6jLbgMnz4cA0fPtxj2++//+4O9l3uvvvuLM/hsmvXLkVERPgcnjohIcEjGL/tttv022+/6ZFHHtFNN90k6d+fV2bzn5vNZq9g95NPPpGUfp933nmnnn76aT355JOS5LPHuOvvjYxsNpscDod7LnlfEhMTffacd73wsm7dOveoEFkJCwvzeEkho+PHj/v8OQ0dOlTNmzfXf//7X69g/PDhw5o6dapeeumlTIcm37lzp5o0aZLldWU2v/eLL76ohx9+2GNbTEyMKlSooLp162r//v2qU6eOuyw5OTnLYNwwDK1atUq9evXy6jHv0r59e91222164oknvILxoKAg9xQArjnGTSaTzp8/r/r162vmzJlev9O+VKxY0T2sPwAAAIDLX9avKAMAAADAZeDXX3/VkSNHNG3aNE2bNk02m01Sem/V6tWru3ul3nDDDV6heEZ79uzRm2++qW+//VYRERFeS8mSJXXo0CGfxx46dMg9L/SiRYt03XXX6eTJkzm+F4fDoRdffFGdOnXSSy+9pMcff1zXXHON5syZo9TUVJ/HhIaGqlOnTu6esL/99psMw3AvUnog51pPSUnRJ598ogsXLnjUc8899+j8+fM+h4LO6J133lHJkiV1xx135Pj+MuMayv7iIbKXL1+uyMhIdw9uKX0kAJPJJKvV6jHvtJQexo0ePdojXF2zZo1CQ0MVGhqqOXPmaNOmTe710NBQ3XfffT6vyRX0nTx5UtWqVfPZC9cXwzBUunRpjRs3Tv/5z38UFhamoKAgvfTSS3rppZe0cOFCNW/eXElJSRozZozKly+vGjVq6Pbbb1diYqJMJpNq1qyp0NBQlShRQlarVWFhYYqMjNSaNWv0zDPPuF+4cL0MUaNGDa8RDm699VaVK1dOy5Yty/J6jxw5oo0bN3p9D67ve/HixR6/T9dcc42mTJnisa1fv34ew1Bn5YcfftANN9zgs9d0fHy81xzXJUqU0BtvvOEOUl3X5eoBfPHia7SB8+fP6+GHH1bPnj1144036rHHHsv0+mbPnq0ffvjBK3y22WyKjY1VhQoVMl1mzJjh/vvHl3nz5mnt2rUev38PPPCAzpw5417ftm2bO7T3JSgoSA6Hw2v7U089pfnz5/s8Zty4capfv36WYXC9evUUExOjI0eO6Pjx4x7LAw88oJtuuslre2xsrA4ePOhzSoWYmBjVr19fhw4dUuPGjT1638fFxSkqKirTa/nmm290+PDhTF8OcHnmmWe0detWrV+/3mO70+l0TwGQcVSLEiVK6N5779X06dN9vsBwMYfD4fHiDAAAAIDLGz3GAQAAAFy2jh07pg4dOmj//v0KDQ3V8OHDNW/evFzVlZaWpiFDhigsLEwlSpTQ77//roiICHd5nz59VKJECZ/DqzscDg0cOFC33HKLPv/8c/33v//VN998o27dumUbMrucOXNGy5Yt0yuvvKLo6Gh999136tmzp5566imtX79egwYN0vPPP68BAwaoXbt2atq0qVePS1eP4RtvvNGjZ6fVavXo5eyaV/vi+ZI7dOigqKgoLVu2TLfeeqvP67TZbHr99dfVp08fn0MRJyUlKSkpKdM5wLPiKyjr2bOnWrVqpZCQEAUHB6tChQqaPXu27rrrLqWmpnqEq+fOndN//vMf3XbbbR69p81ms8qXL+9z7uXhw4f7DMgWLVqkzZs368Ybb1TZsmX11FNPqW/fvn4NjX/33Xfrww8/VN++fdWjRw8lJSWpS5cukuQR/J8+fVrNmzfXY489pnXr1slut3v0fjeZTF695Bs0aCBJ+uWXXyQp0xc1XPfds2dPLVq0SGfPns10v3nz5ikqKsrrRQd/g24XX2HtxY4dO6avv/5as2fP9ll+/vx5r2Bckp588klde+216tmzp3tbxuHnM+rYsaP7c3x8vIYNG6aPP/5YaWlpstvt2rRpk4oXL+513PTp0+VwONShQwfdc889XiFynz59PH5+Z86c0aeffqr//ve/HvslJSX5vC4pfZ7rH374wWMedUl6/fXX3UORJyQkePzdc7EKFSr47MXs6jW9Z88ej+2bNm3S6tWrtXHjxiyHcLdarapVq5bPsrCwMIWEhHgNfZ+VgwcPql69eqpRo4beeOMNDRo0SGXKlFG3bt2UkJCgyMjITI+dP3++atSooVtuuSXLc7Rs2VI33XSTpk+f7m5jku/fRdfv85gxY/Taa69p6dKluv/++7Os//jx4z5HNgAAAABweSIYBwAAAHDZqlixogYOHKg777xTgwcPVpkyZXJd14MPPqjffvtNW7du1ejRozV27Fh3D8f169fr008/1b59+3we++ijj+r333/Xpk2bVKdOHVmtVi1fvlxDhw7VqVOnsjzvuXPn1L59e/3666+qXr26e070kJAQ9e7dW2fOnFHHjh31zTff6O2339Ybb7yhF154QZI0d+5cjRw50l1XZGSkHnvsMQ0ZMsQ9f3JWXD3MXUJCQvTggw9m+T0eP35cNWrUyLSXteuev/jii2zP74/IyEivAC0qKspnWBUZGalu3brp0Ucf1dChQ93bs+vxefGw267fgblz52rdunWSpBEjRmj79u2Zzmud0XPPPaenn35a9erV00MPPaSlS5dqwoQJXvsdP35c7du3V6NGjdSoUaNs681ow4YNkqTPPvssy16t99xzj4KCgtzDw/vidDo1aNAgrxcdXL8fF8/VLEk7duzQ008/7bGta9eu2V73448/roiICPXv399n+enTp30Osb1q1SodPXrUIxivW7euzzoyvkwQGRmppk2bqlu3bnI6nRoxYoTOnz8vKf37/+CDD9SzZ09VqlRJiYmJioiI0MSJE93D8Lv8/PPPGjp0qH799Vd1795dTZs21YgRI/T444/r7NmzevDBByWlz59+xx136PPPP/c5LHlqaqqaN2/uMey8q827ejb/+OOP+uqrr3zemyQ1bNhQe/bsUXx8fJbhssu0adPUtm3bbEPmQIuJiXH/TgwYMEAHDx7Ujh071LZtWzkcjkyv/ffff9dHH32k5557LtOh2zMaPXq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      "text/plain": [
       "<Figure size 2000x2500 with 19 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 在一张大图像中展示所有的填充以后的数据随时间变化的图像\n",
    "f, ax = plt.subplots(nrows=19, ncols=1, figsize=(20, 25))\n",
    "\n",
    "# 按照年份绘制所有feature的图像，这里以前向填充的数据为例\n",
    "for i, column in enumerate(clear_data_ffill.columns):\n",
    "    ax[i].plot(clear_data_ffill.index, clear_data_ffill[column], color='blue')\n",
    "    ax[i].set_title(column)\n",
    "    ax[i].set_ylabel('亿千瓦小时')\n",
    "    ax[i].set_xlabel('年份')\n",
    "\n",
    "# 增大子图间距，使得能够完整显示子图的标题\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "plt.savefig('../images/Electricity_20_fill_all.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 二、特征选取\n",
    "- 特征工程：进行相关性分析，相关度高的特征对最终预测效果的影响较大，因此适合用于做预测\n",
    "- 特征与标签分离：确定作为模型输入的特征X，以及要预测的目标变量target，另外在这里时间date作为标签变量不参与预测，仅用于结果可视化。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "电力生产量(亿千瓦小时)                  1.000000\n",
      "电力能源消费总量(亿千瓦小时)               1.000000\n",
      "电力可供量(亿千瓦小时)                  1.000000\n",
      "电力终端消费量(亿千瓦小时)                0.999929\n",
      "工业终端电力消费量(亿千瓦小时)              0.998246\n",
      "工业电力消费总量(亿千瓦小时)               0.997419\n",
      "建筑业电力消费总量(亿千瓦小时)              0.997048\n",
      "居民生活电力消费总量(亿千瓦小时)             0.994986\n",
      "火电生产电力量(亿千瓦小时)                0.993887\n",
      "批发和零售业、住宿和餐饮业电力消费总量(亿千瓦小时)    0.987841\n",
      "Name: 电力生产量(亿千瓦小时), dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# 对清洗之后的数据做相关性分析，画出热力图，这里越红表示相关性越强，越蓝表示相关性越弱\n",
    "# 对于预测，相关性越强的特征越有可能对结果产生影响，相关性越弱的特征越有可能对结果产生干扰，因此可以根据热力图来选择特征\n",
    "plt.figure(figsize=(10, 8))\n",
    "correlation = clear_data_ffill.corr()\n",
    "# print(correlation)\n",
    "# 画出热力图\n",
    "plt.matshow(correlation, cmap='coolwarm', fignum=1)\n",
    "plt.colorbar()\n",
    "# 设置标签，x轴标签显示在下方，y轴标签显示在左侧\n",
    "plt.xticks(range(len(correlation.columns)), correlation.columns, rotation=90)\n",
    "plt.yticks(range(len(correlation.columns)), correlation.columns, rotation=0)\n",
    "plt.title('特征值相关性热力图')\n",
    "plt.savefig('../images/Electricity_20_heatmap.png')\n",
    "plt.show()\n",
    "# 打印出选中的前8个特征\n",
    "print(correlation['电力生产量(亿千瓦小时)'].sort_values(ascending=False).head(10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3.2 自相关行分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 自相关性分析\n",
    "# 画出自相关性图像，大部分数据点在虚线之下，说明数据是平稳的\n",
    "plt.figure(figsize=(10, 8))\n",
    "# 画出电力生产量(亿千瓦小时)的自相关性图,图像看的方式\n",
    "autocorrelation_plot(clear_data_ffill[\"电力生产量(亿千瓦小时)\"])\n",
    "plt.xlabel('滞后期')\n",
    "plt.ylabel('相关性')\n",
    "plt.title('电力生产量(亿千瓦小时)自相关性图')\n",
    "plt.show()\n",
    "plt.savefig('../images/Electricity_20_autocorrelation.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 自相关性分析\n",
    "# 画出自相关性图像，大部分数据点在虚线之下，说明数据是平稳的\n",
    "plt.figure(figsize=(10, 8))\n",
    "# 画出电力生产量(亿千瓦小时)的自相关性图,图像看的方式\n",
    "autocorrelation_plot(clear_data_ffill[\"电力生产量(亿千瓦小时)\"])\n",
    "plt.xlabel('滞后期')\n",
    "plt.ylabel('相关性')\n",
    "plt.title('电力生产量(亿千瓦小时)自相关性图')\n",
    "plt.show()\n",
    "plt.savefig('../images/Electricity_20_autocorrelation.png')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "tf",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
